Lessons:16Length:1.9 hours
- Overview
- Transcript
4.2 Statistical Significance
Here we look at what makes any test statistically relevant, what this means, why “P-values” are important, and how we can use tools to test for significance. We’ll also look at some examples, consider Type I and II errors, and point out how we can avoid falling foul of them.
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1.Introduction
1.1Introduction02:04
1.1
Introduction
02:04
2.Getting Started
2.1What Is A/B Testing?06:40
2.1
What Is A/B Testing?
06:40
2.2Examples of A/B Tests10:53
2.2
Examples of A/B Tests
10:53
2.3Preparing for Testing07:38
2.3
Preparing for Testing
07:38
2.4What to Test?07:54
2.4
What to Test?
07:54
2.5Permission and “Buy-In”04:40
2.5
Permission and “Buy-In”
04:40
3.Start Testing
3.1Testing Services05:50
3.1
Testing Services
05:50
3.2Optimizely12:20
3.2
Optimizely
12:20
3.3Visual Website Optimizer09:27
3.3
Visual Website Optimizer
09:27
3.4Google Content Experiments14:06
3.4
Google Content Experiments
14:06
4.Getting Results
4.1Measuring Success05:13
4.1
Measuring Success
05:13
4.2Statistical Significance07:10
4.2
Statistical Significance
07:10
5.Now You're an Expert
5.1Taking Your Tests Further06:39
5.1
Taking Your Tests Further
06:39
5.2A/B Testing Email Campaigns05:52
5.2
A/B Testing Email Campaigns
05:52
5.3A/B Testing Mistakes You Should Avoid05:22
5.3
A/B Testing Mistakes You Should Avoid
05:22
6.Conclusion
6.1Final Thought03:17
6.1
Final Thought
03:17
